Method and device of acquiring fire class information

Abstract

The invention discloses a method and a device of acquiring fire class information. The method includes acquiring fire scene images, identifying targets according to the acquired images, extracting images characteristics information according to the identified targets, acquiring targets actual parameter information according to the images characteristics information, confirming fire classes according to the targets actual parameter information and preset fire class division strategies, and outputting the confirmed fire class information. The method and the device of acquiring the fire class information can improve fire rescue efficiency.

Description

technical field [0001] The invention relates to fire safety technology, in particular to a method and device for acquiring fire level information. Background technique [0002] In the fire protection industry, in the event of a fire, the estimation and judgment of the fire level directly determines the size of the fire department's rescue force and the speed of action. The greater the judged fire level, the greater the fire department's rescue force and the faster the action speed. If the size of the fire level is wrongly underestimated, resulting in insufficient on-site rescue forces and untimely evacuation, it will pose a major threat to the safety of people's lives and property. [0003] In order to estimate the fire level more accurately, the prior art proposes a fire content analysis system based on pictures or videos, which is used to assist fire detection and alarm. The fire content analysis system generally uses a camera deployed on-site for on-site photography. An...

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Problems solved by technology

[0004] It can be seen from the above that the existing fire content analysis system can only judge whether the pictures contain flames and smoke to determine whether to trigger a fire alarm for the pictures obtained from the camera, and determine the fire level manually, but cannot automatically judge The level of the on-site fire did not give specific on-site information, and manual analysis and judgment of the fire level were still required, and fire rescue was coordinated, which not only made the time required for fire rescue longer, but the efficiency of fire rescue was low; moreover, Manual analysis is often limited by personal experience, emotions, etc., and it is easy to make mistakes in judgment, which may cause irreparable losses and further reduce the efficiency of fire rescue

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